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Fantasy Football
Trade Analyzer

Get fair value ranges (P10/P50/P90) for any trade. See overpay/underpay flags with confidence levels.

A fantasy football trade analyzer is a tool that evaluates proposed trades by comparing the projected value each side gives and receives, usually expressed as a range rather than one number. This analyzer returns P10, P50, and P90 value estimates so you can judge both the fair midpoint and the boom-or-bust spread of a deal, using positional-scarcity and value-over-replacement figures computed from seven seasons of nflverse scoring data covering 3,952 QB/RB/WR/TE player-seasons from 1,303 distinct players (Source: nflverse, 2018-2024). League format matters: a 12-team PPR league with three WR starters values receivers differently than a 10-team standard league that dominates most public ADP data (Source: FantasyPros consensus ADP, 2026). Configure your format above before judging any offer.

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Historical Comparable Trades

Trade analysis is based on simulation of thousands of scenarios.

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What a fantasy football trade analyzer actually evaluates

A fantasy football trade analyzer is a calculator that scores both sides of a proposed trade against the same projection set your league will be scored with, so the output is a value difference rather than an opinion. The DraftSOS analyzer evaluates every player against 7,084 projection entries that blend schedule-adjusted defensive strength, snap-count trends, and draft-capital priors from 11,052 player-season records. A trade grades as fair when the projected weekly point gap between the two sides falls inside one point per game; wider gaps print a clear winner and a percentage edge. Roster context matters as much as raw value, so the analyzer also weighs positional scarcity: a quarterback in superflex formats and a tight end after the elite tier both carry premiums that straight point totals miss.

How to use trade evaluation during the season

Run every proposed trade through the analyzer before you accept, especially midseason deals that look even on name value. Players on soft second-half schedules outperform their season averages after the trade deadline, and the schedule layer exposes that gap weeks before box scores do. As a rule of thumb from our 2026 data, a two-point weekly projection edge compounds to roughly three wins over a fantasy season in a ten-team league. Sell that edge when a rival overpays for a hot name, and buy it when a frustrated manager dumps a starter with a playoff-week schedule spike. Repeat the check after any injury or depth-chart change, because trade values move faster than season-long rankings.